I'm currently working on a project that makes use of RSSI signals to determine a users distance from between three beacons. Whilst I have the rough triangulation formulas working, I'm trying to make something a lot more accurate.
Through all my research, I have discovered Kalman filters. From what I've been reading about them, they seem to be just what I'm wanting to use. However, all of the examples I have found have been fairly complex and difficult to understand.
Has anyone ever used a Kalmon filter combined with an RSSI signal before? Is anyone capable of point me, or explaining to me, how a Kalmon filters work in a simple way?
Has anyone ever used a Kalmon filter combined with an RSSI signal before?
Yes, see for example: RSSI-Based Indoor Localization and Tracking Using Sigma-Point Kalman Smoothers
Is anyone capable of point me, or explaining to me, how a Kalmon filters work in a simple way?
The most human readable intro with examples I have found so far is the SIGGRAPH Course Pack.
来源：https://stackoverflow.com/questions/19906019/a-kalman-filter-for-rssi-distance-approximations